Dataset Information

Identification of TRIM56 as a Potential Biomarker for Lung Adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is the primary subtype of human lung cancer. The effectiveness of treatment and long-term survival of patients with LUAD are current suboptimal. Tripartite motif containing 56 (TRIM56) is a member of the TRIM protein family that have functions predominantly in immunity and cancer.

Purpose

To investigate the expression of TRIM56 in LUAD, and explore the potential regulatory role of TRIM56 in the invasion and migration of LUAD cells.

Methods

The Gene Expression Omnibus datasets and The Cancer Genome Atlas-LUAD cohort were used to analyze the mRNA expression of TRIM56 in LUAD. The differential expression profiles of miRNAs associated with TRIM56 were obtained from The Cancer Genome Atlas-LUAD cohort. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed to determine the principal functions of miRNAs and interacting proteins. Transwell and wound healing were used to detect the effect of overexpression of TRIM56 on the invasion and migration of LUAD cells.

Results

The expression of TRIM56 was decreased in LUAD and associated with poor prognosis. We determined the genome copy number, negatively correlated miRNA and potential transcription factors of TRIM56, and conducted enrichment analysis. Among them, hsa-mir-542 and hsa-mir-627 were the most likely to inhibit the expression of TRIM56. We also predicted the interacting proteins and potential ubiquitination substrate of TRIM56. Finally, we demonstrated that overexpression of TRIM56 inhibits the invasion and migration of LUAD cells.

Conclusion

This study is the first to analyze the expression of TRIM56 and its inhibitory effect on the invasion and migration of LUAD. This evidence provides a new direction for further study of the reasons for the low expression of TRIM56 in LUAD and its regulatory mechanism.

SUBMITTER: Lu K

PROVIDER: S-EPMC7940991 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

Identification of TRIM56 as a Potential Biomarker for Lung Adenocarcinoma.

Lu Kun K Sui Yingli Y Fu Lin L

Cancer management and research 20210304

<h4>Background</h4>Lung adenocarcinoma (LUAD) is the primary subtype of human lung cancer. The effectiveness of treatment and long-term survival of patients with LUAD are current suboptimal. Tripartite motif containing 56 (TRIM56) is a member of the TRIM protein family that have functions predominantly in immunity and cancer.<h4>Purpose</h4>To investigate the expression of TRIM56 in LUAD, and explore the potential regulatory role of TRIM56 in the invasion and migration of LUAD cells.<h4>Methods< ...[more]

PMID: 33707970

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Project description:BackgroundLung adenocarcinoma (LUAD) is the leading cause of cancer-related death. This study aimed to develop and validate reliable prognostic biomarkers and signature.MethodsDifferentially expressed genes were identified based on three Gene Expression Omnibus (GEO) datasets. Based on 1052 samples' data from our cohort, GEO and The Cancer Genome Atlas, we explored the relationship of clinicopathological features and NEIL3 expression to determine clinical effect of NEIL3 in LUAD. Western blotting (22 pairs of tumor and normal tissues), Real-time quantitative PCR (19 pairs of tumor and normal tissues), and immunohistochemical analyses (406-tumor tissues subjected to microarray) were conducted. TIMER and ImmuCellAI analyzed relationship between NEIL3 expression and the abundance of tumor-infiltrating immune cells in LUAD. The co-expressed-gene prognostic signature was established based on the Cox regression analysis.ResultsThis study identified 502 common differentially expressed genes and confirmed that NEIL3 was significantly overexpressed in LUAD samples (P < 0.001). Increased NEIL3 expression was related to advanced stage, larger tumor size and poor overall survival (p < 0.001) in three LUAD cohorts. The proportions of natural T regulatory cells and induced T regulatory cells increased in the high NEIL3 group, whereas those of B cells, Th17 cells and dendritic cells decreased. Gene set enrichment analysis indicated that NEIL3 may activate cell cycle progression and P53 signaling pathway, leading to poor outcomes. We identified nine prognosis-associated hub genes among 370 genes co-expressed with NEIL3. A 10-gene prognostic signature including NEIL3 and nine key co-expressed genes was constructed. Higher risk-score was correlated with more advanced stage, larger tumor size and worse outcome (p < 0.05). Finally, the signature was verified in test cohort (GSE50081) with superior diagnostic accuracy.ConclusionsThis study suggested that NEIL3 has the potential to be an immune-related therapeutic target and an independent predictor of LUAD prognosis. We also developed a prognostic signature for LUAD with a precise diagnostic accuracy.

Project description:BACKGROUND: Lung adenocarcinoma is a heterogernous disease that creates challenges for classification and management. The purpose of this study is to identify specific miRNA markers closely associated with the survival of LUAD patients from a large dataset of significantly altered miRNAs, and to assess the prognostic value of this miRNA expression profile for OS in patients with LUAD. METHODS: We obtained miRNA expression profiles and corresponding clinical information for 372 LUAD patients from The Cancer Genome Atlas (TCGA), and identified the most significantly altered miRNAs between tumor and normal samples. Using survival analysis and supervised principal components method, we identified an eight-miRNA signature for the prediction of overall survival (OS) of LUAD patients. The relationship between OS and the identified miRNA signature was self-validated in the TCGA cohort (randomly classified into two subgroups: n?=?186 for the training set and n?=?186 for the testing set). Survival receiver operating characteristic (ROC) analysis was used to assess the performance of survival prediction. The biological relevance of putative miRNA targets was also analyzed using bioinformatics. RESULTS: Sixteen of the 111 most significantly altered miRNAs were associated with OS across different clinical subclasses of the TCGA-derived LUAD cohort. A linear prognostic model of eight miRNAs (miR-31, miR-196b, miR-766, miR-519a-1, miR-375, miR-187, miR-331 and miR-101-1) was constructed and weighted by the importance scores from the supervised principal component method to divide patients into high- and low-risk groups. Patients assigned to the high-risk group exhibited poor OS compared with patients in the low-risk group (hazard ratio [HR]?=?1.99, P <0.001). The eight-miRNA signature is an independent prognostic marker of OS of LUAD patients and demonstrates good performance for predicting 5-year OS (Area Under the respective ROC Curves [AUC]?=?0.626, P?=?0.003), especially for non-smokers (AUC?=?0.686, P?=?0.023). CONCLUSIONS: We identified an eight-miRNA signature that is prognostic of LUAD. The miRNA signature, if validated in other prospective studies, may have important implications in clinical practice, in particular identifying a subgroup of patients with LUAD who are at high risk of mortality.

Project description:BackgroundBoth N6-methyladenosine (m6A) and ferroptosis-related genes are associated with the prognosis of lung adenocarcinoma. However, the predictive value of m6A-related ferroptosis genes remains unclear. Here, we aimed to identify the prognostic value of m6A-related ferroptosis genes in lung adenocarcinoma.MethodsLung adenocarcinoma sample data were downloaded from the University of California Santa Cruz Xena and Gene Expression Omnibus databases. Spearman's correlation analysis was used to screen for m6A-related ferroptosis genes. Univariate Cox regression, Kaplan-Meier, and Lasso analyses were conducted to identify prognostic m6A-related ferroptosis genes, and stepwise regression was used to construct a prognostic gene signature. The predictive value of the gene signature was assessed using a multivariate Cox analysis. In the validation cohort, survival analysis was performed to verify gene signature stability. The training cohort was divided into high- and low-risk groups according to the median risk score to assess differences between the two groups in terms of gene set variation analysis, somatic mutations, and tumor immune infiltration cells.ResultsSix m6A-related ferroptosis genes were used to construct a gene signature in the training cohort and a multivariate Cox analysis was conducted to determine the independent prognostic value of these genes in lung adenocarcinoma. In the validation cohort, Kaplan-Meier and receiver operating characteristic analyses confirmed the strong predictive power of this signature for the prognosis of lung adenocarcinoma. Gene set variation analysis showed that the low-risk group was mainly related to immunity, and the high-risk group was mainly related to DNA replication. Somatic mutation analysis revealed that the TP53 gene had the highest mutation rate in the high-risk group. Tumor immune infiltration cell analysis showed that the low-risk group had higher levels of resting CD4 memory T cells and lower levels of M0 macrophages.ConclusionOur study identified a novel m6A-related ferroptosis-associated six-gene signature (comprising SLC2A1, HERPUD1, EIF2S1, ACSL3, NCOA4, and CISD1) for predicting lung adenocarcinoma prognosis, yielding a useful prognostic biomarker and potential therapeutic target.

Dataset Information

Identification of TRIM56 as a Potential Biomarker for Lung Adenocarcinoma.

Background

Purpose

Methods

Results

Conclusion

Publications

Identification of TRIM56 as a Potential Biomarker for Lung Adenocarcinoma.

Similar Datasets

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